Prevalence, progress, and social inequalities of home deliveries in Ghana from 2006 to 2018: insights from the multiple indicator cluster surveys

被引:13
作者
Dzomeku, Veronica Millicent [1 ]
Duodu, Precious Adade [2 ]
Okyere, Joshua [3 ]
Aduse-Poku, Livingstone [4 ]
Dey, Nutifafa Eugene Yaw [5 ]
Mensah, Adwoa Bemah Boamah [1 ]
Nakua, Emmanuel Kweku [6 ]
Agbadi, Pascal [1 ]
Nutor, Jerry John [7 ]
机构
[1] Kwame Nkrumah Univ Sci & Technol, Fac Allied Hlth Sci, Coll Hlth Sci, Dept Nursing, Kumasi, Ghana
[2] Univ Huddersfield, Sch Human & Hlth Sci, Dept Nursing & Midwifery, Huddersfield, W Yorkshire, England
[3] Univ Cape Coast, Dept Populat & Hlth, Private Mail Bag, Cape Coast, Ghana
[4] Univ Florida, Coll Med, Coll Publ Hlth & Hlth Profess, Dept Epidemiol, Gainesville, FL 32611 USA
[5] Univ Ghana, Dept Psychol, POB LG 84, Legon, Ghana
[6] Kwame Nkrumah Univ Sci & Technol, Sch Publ Hlth, Dept Epidemiol & Biostat, Kumasi, Ghana
[7] Univ Calif San Francisco, Sch Nursing, Dept Family Hlth Care Nursing, San Francisco, CA 94143 USA
关键词
Prenatal care; Antenatal care; Pregnancy; Skilled birth attendance; HEALTH FACILITIES; WOMEN; CARE;
D O I
10.1186/s12884-021-03989-x
中图分类号
R71 [妇产科学];
学科分类号
100211 ;
摘要
BackgroundDelivery in unsafe and unsupervised conditions is common in developing countries including Ghana. Over the years, the Government of Ghana has attempted to improve maternal and child healthcare services including the reduction of home deliveries through programs such as fee waiver for delivery in 2003, abolishment of delivery care cost in 2005, and the introduction of the National Health Insurance Scheme in 2005. Though these efforts have yielded some results, home delivery is still an issue of great concern in Ghana. Therefore, the aim of the present study was to identify the risk factors that are consistently associated with home deliveries in Ghana between 2006 and 2017-18.MethodsThe study relied on datasets from three waves (2006, 2011, and 2017-18) of the Ghana Multiple Indicator Cluster surveys (GMICS). Summary statistics were used to describe the sample. The survey design of the GMICS was accounted for using the 'svyset' command in STATA-14 before the association tests. Robust Poisson regression was used to estimate the relationship between sociodemographic factors and home deliveries in Ghana in both bivariate and multivariable models.ResultsThe proportion of women who give birth at home during the period under consideration has decreased. The proportion of home deliveries has reduced from 50.56% in 2006 to 21.37% in 2017-18. In the multivariable model, women who had less than eight antenatal care visits, as well as those who dwelt in households with decreasing wealth, rural areas of residence, were consistently at risk of delivering in the home throughout the three data waves. Residing in the Upper East region was associated with a lower likelihood of delivering at home.ConclusionPolicies should target the at-risk-women to achieve complete reduction in home deliveries. Access to facility-based deliveries should be expanded to ensure that the expansion measures are pro-poor, pro-rural, and pro-uneducated. Innovative measures such as mobile antenatal care programs should be organized in every community in the population segments that were consistently choosing home deliveries over facility-based deliveries.
引用
收藏
页数:12
相关论文
共 55 条
[1]   What influences home delivery among women who live in urban areas? Analysis of 2014 Ghana Demographic and Health Survey data [J].
Ahinkorah, Bright Opoku ;
Seidu, Abdul-Aziz ;
Budu, Eugene ;
Agbaglo, Ebenezer ;
Appiah, Francis ;
Adu, Collins ;
Archer, Anita Gracious ;
Ameyaw, Edward Kwabena .
PLOS ONE, 2021, 16 (01)
[2]   Non-utilization of health facility delivery and its correlates among childbearing women: a cross-sectional analysis of the 2018 Guinea demographic and health survey data [J].
Ahinkorah, Bright Opoku .
BMC HEALTH SERVICES RESEARCH, 2020, 20 (01)
[3]  
Akazili J., 2011, AFR J HLTH SCI, V18, P62
[4]  
Amu H, 2016, INT J REPROD MED HIN, V2016
[5]  
[Anonymous], 2008, SKILL BIRTH ATT FACT
[6]  
Balde MD, 2017, REPROD HEALTH, V14, DOI [10.1186/s12978-016-0266-1, 10.1186/s12978-016-0262-5]
[7]   Prevalence and Factors Associated with Institutional-based Delivery in The Gambia: Further Analysis of Population-based Cross-Sectional Data [J].
Barrow, Amadou ;
Jobe, Amienatta ;
Onoh, Vivian Ifunanya ;
Maduako, Kenneth Toby .
AFRICAN JOURNAL OF REPRODUCTIVE HEALTH, 2020, 24 (02) :176-186
[8]   Mistreatment of women during childbirth in Abuja, Nigeria: a qualitative study on perceptions and experiences of women and healthcare providers [J].
Bohren, Meghan A. ;
Vogel, Joshua P. ;
Tuncalp, Ozge ;
Fawole, Bukola ;
Titiloye, Musibau A. ;
Olutayo, Akinpelu Olanrewaju ;
Ogunlade, Modupe ;
Oyeniran, Agnes A. ;
Osunsan, Olubunmi R. ;
Metiboba, Loveth ;
Idris, Hadiza A. ;
Alu, Francis E. ;
Oladapo, Olufemi T. ;
Gulmezoglu, A. Metin ;
Hindin, Michelle J. .
REPRODUCTIVE HEALTH, 2017, 14
[9]   Predictors of home births among rural women in Ghana: analysis of data from the 2014 Ghana Demographic and Health Survey [J].
Budu, Eugene .
BMC PREGNANCY AND CHILDBIRTH, 2020, 20 (01)
[10]   Prevalence and correlates of home delivery amongst HIV-infected women attending care at a rural public health facility in Coastal Kenya [J].
Chea, Stevenson K. ;
Mwangi, Tabitha W. ;
Ndirangu, Kennedy K. ;
Abdullahi, Osman A. ;
Munywoki, Patrick K. ;
Abubakar, Amina ;
Hassan, Amin S. .
PLOS ONE, 2018, 13 (03)